Add gh-aw MCP server to python-data-charts workflow

[Copilot]

Enables workflow introspection capabilities (status, logs, audit, compile) for the python-data-charts workflow by adding the agentic-workflows MCP server.

Changes

• Added agentic-workflows: tool to workflow frontmatter

 engine: copilot
 tools:
+  agentic-workflows:
   edit:

This follows the pattern established in dev-hawk.md, craft.md, daily-firewall-report.md, and example-workflow-analyzer.md.

Impact

The workflow can now analyze its own execution history and debug failures using gh-aw MCP tools. Python library installation remains handled by the existing shared/python-dataviz.md import.

Original prompt

---

This section details on the original issue you should resolve

<issue_title>[q] Add gh-aw MCP server to python-data-charts workflow</issue_title>
<issue_description># Q Workflow Optimization Report

Context

This PR addresses the request: "/q fix workflow to pre install python libraries and configure gh-aw mcp"

Investigation Summary

Trigger Analysis

• Request: Add gh-aw MCP server configuration to python-data-charts workflow
• Current State: Workflow imports shared/python-dataviz.md which handles Python library installation
• Issue: Missing gh-aw MCP server for workflow introspection capabilities

Python Library Installation Status ✅

Already Configured - The workflow imports shared/python-dataviz.md which includes:

• Step: Install Python scientific libraries (line 42-53)
  • NumPy, Pandas, Matplotlib, Seaborn, SciPy
  • Uses pip install --user for local installation
  • Includes verification checks for all libraries
• Directory structure setup for data, charts, and artifacts
• Automatic artifact upload for generated charts and source files

No changes needed for Python library pre-installation - this is already working correctly via the shared import.

Changes Made

python-data-charts.md (.github/workflows/python-data-charts.md)

Added gh-aw MCP server tool:

 tools:
+  agentic-workflows:
   edit:

Why this change?

• Enables workflow introspection using gh-aw MCP server tools (status, logs, audit, compile)
• Allows the agent to analyze workflow performance and execution history
• Provides debugging capabilities for workflow runs
• Follows the pattern used in other workflows (dev-hawk.md, craft.md, daily-firewall-report.md, example-workflow-analyzer.md)

Expected Improvements

✅ Workflow introspection enabled - Agent can now analyze workflow runs and performance
✅ Python libraries already pre-installed - No changes needed (handled by shared/python-dataviz.md)
✅ Debugging capabilities - Agent can use gh-aw tools to investigate issues
✅ Performance analysis - Agent can review logs and metrics from past runs
✅ Consistent patterns - Aligns with other workflows using gh-aw MCP server

Validation

✅ Workflow compiled successfully using gh aw compile python-data-charts:

• Output: .github/workflows/python-data-charts.lock.yml (243.3 KB)
• No compilation errors or warnings
• All configurations validated

✅ No .lock.yml files included - Will be generated automatically after merge

Pattern Consistency

This change follows the established pattern from 4 other workflows already using agentic-workflows: tool:

• dev-hawk.md - Development workflow monitor
• craft.md - Workflow creation agent
• daily-firewall-report.md - Firewall analysis
• example-workflow-analyzer.md - Weekly workflow analysis

Technical Details

MCP Server Configuration

The agentic-workflows: tool enables these capabilities:

• status - View workflow file status in repository
• logs - Download and analyze workflow run logs
• audit - Investigate specific workflow run failures
• compile - Validate workflow compilation

No Impact on Existing Functionality

• Python library installation unchanged (still via shared/python-dataviz.md)
• Workflow trigger (workflow_dispatch) unchanged
• Safe outputs configuration unchanged
• Permissions unchanged
• Timeout unchanged

Security & Best Practices

✅ Minimal changes - Only added one tool configuration line
✅ Validated compilation - Workflow compiles without errors
✅ Follows established patterns - Matches other workflows in the repository
✅ No new permissions needed - Existing permissions sufficient
✅ No lock files - Let automation handle .lock.yml generation

---

Q Mission Complete - Workflow optimized with minimal, surgical changes based on established patterns and validated compilation.

AI generated by Q

---

[!NOTE]
This was originally intended as a pull request, but the git push operation failed.

Workflow Run: View run details and download patch artifact

The patch file is available as an artifact (aw.patch) in the workflow run linked above.
To apply the patch locally:

# Download the artifact from the workflow run https://github.com/githubnext/gh-aw/actions/runs/19210427486
# (Use GitHub MCP tools if gh CLI is not available)
gh run download 19210427486 -n aw.patch
# Apply the patch
git am aw.patch

Show patch (48 lines)

From 9808b97ae8ad5e2757d59f15cd7b025f74514a08 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" <github-actions[bot]@users.noreply.github.com>
Date: Sun, 9 Nov 2025 15:22:29 +0000
Subject: [PATCH] Add gh-aw MCP server to python-data-charts workflow
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Co...

</details>

- Fixes githubnext/gh-aw#3531

<!-- START COPILOT CODING AGENT TIPS -->
---

💬 We'd love your input! Share your thoughts on Copilot coding agent in our [2 minute survey](https://gh.io/copilot-coding-agent-survey).

[Copilot]

Pull Request Overview

This PR adds the agentic-workflows MCP server to the python-data-charts workflow, enabling AI agents to analyze workflow execution history, download logs, and audit failures. The change adds workflow introspection capabilities to the Python data visualization workflow.

Key changes:

• Adds agentic-workflows: tool to workflow frontmatter
• Installs gh-aw CLI extension in the compiled workflow
• Configures agentic_workflows MCP server with GitHub token authentication

Reviewed Changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.

File	Description
.github/workflows/python-data-charts.md	Adds agentic-workflows tool to the tools configuration
.github/workflows/python-data-charts.lock.yml	Adds gh-aw extension installation step and agentic_workflows MCP server configuration

---

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.